University
of North Carolina Wilmington |
Prof.
Dr. Peter Schmidt 20 May 2008 |
Statistical
Analysis for Business and Economics QMM 280 |
Formula by P. Schmidt (German - English)
All quizzes and tests are closed book exams, so no material is permitted except for one formula sheet per person (ONE page 8 1/2 X 11 with own selection of formula, no text). All formula sheets must be turned in, so make sure to make a copy for you in advance. Also a calculator is permitted ---> mobil phones are strictly forbidden!!
Schedule (preliminary - changes may occur and will be announced in class and in the following table):
No | Week |
Day | Class Notes | Class Material (print in advance) | Topics | Further material
/ solutions |
1 | 1 |
Thur, 10 January |
- |
Overview of course + case study (sample data) |
||
2 | 2 |
Tue, 15 January | Chap. 1 | - |
First Introduction to Descriptive Statistics by analyzing the data of the case study / using Excel |
|
3 | 2 |
Thur, 17 January | Chap. 1 | No class - please use the time to work on the tasks (see task 1 and table below) either with your own laptops or in a computer lab in your teams. The results are to be presented next week. | ||
4 | 3 |
Tue, 22 January | Chap. 2 | Introduction to Descriptive Statistics | ||
5 | 3 |
Thur, 24 January | Chap. 2 | Introduction to Descriptive Statistics (cont'd) Measures of Central Tendency |
||
6 | 4 |
Tue, 29 January | Chap. 3 | Measures of Central Tendency Measures of Dispersion |
||
7 | 4 |
Thur, 31 January | Chap. 3 | Measures of Dispersion | ||
8 | 5 |
Tue, 5 February | Chap. 4 | Quiz 1 (chapter 1-3) |
- quiz 1 plus some solutions |
|
9 | 5 |
Thur, 7 February | Chap. 4 + 5 | please prepare for today (see right colum) -----> |
Probability Theory and Discrete Random Variables |
Chapter 4, - 4d (Tree diagram), - 4e (prob. table and - 4 f for our dice example E1: even, E2: >= 5 -> Pr(E1 or E2) = ?? |
10 | 6 |
Tue, 12 February |
Chap. 5 | Discrete Probability Distributions | Binomial Distribution table | |
11 | 6 |
Thur, 14 February | Chap. 5 | - no class due to a business
trip (conference) - |
||
12 | 7 |
Tue, 19 February | Chap. 6 | Discrete and Continuous Probability Distributions | Binomial Distribution table | |
13 | 7 |
Thur, 21 February | Chap. 6 | Continuous Probability Distributions |
||
14 | 8 |
Tue, 26 February | - no class due to Business week 2008 (please
attend the presentations) - |
|||
15 | 8 |
Thur, 28 February | Test 1 -> up to Binomial Distribution (Formula, Table, ...) (chapter 1-5) |
- Results as of 13 March 2008 (Points changed to a maximum of 55) - overview as pivot tables |
||
16 | 9 |
Tue, 11 March | Chap. 6 | Continuous Probability Distributions |
Synopsis of chapters in old and new classnotes (+ info for Z tables) | |
17 | 9 |
Thur, 13 March | Chap. 6 | Continuous Probability Distributions | Z table for all students (replacing the tables from both versions of the classnotes) |
|
18 | 10 |
Tue, 18 March | Chap. 6,7 | 1) Your questions about chapter 6 -- esp.
these solutions -------> 2) Quiz 2 (chapter 4-6) (30 minutes) |
Solutions to the
examples from chapter 6 - make sure that you understand the solutions
and the way to find them, you need this for the quiz! |
|
19 | 11 |
Tue, 25 March | Chap. 8 | Continuous Probability Distributions + Sampling Distribution | ||
20 | 11 |
Thur, 27 March | Chap. 9 | - no class (due to illness)
- |
||
21 | 12 |
Tue, 1 April | Chap. 8 | Sampling Distribution + Interval estimation | ||
22 | 12 |
Thur, 3 April | Chap. 8+9 | Interval estimation + Hypothesis Testing | ||
23 | 13 |
Tue, 8 April | Chap. 9 | Hypothesis Testing | ||
24 | 13 |
Thur, 10 April | Chap. 9 | Hypothesis Testing |
||
25 | 14 |
Tue, 15 April | Chap. 8-9 + 10 |
Sheet "Regression Analysis" | Quiz 3 (chapter 8-9) + Simple Linear Regression |
The results of quiz 3 are disappointing! I'd like to dicuss the reasons for this in class so please have a look at the quiz and the solutions. I "curved" the result, taking away two points from the maximum because in question 3 (22%) and question 7 (43%) most of you gave a wrong answer - why? (The points achieved in these question still count anyway) --> Quiz 3 + solutions + results + overview |
26 | 14 |
Thur, 17 April | Chap. 10 | Linear Regression, Prediction, and Correlation |
||
27 | 15 |
Tue, 22 April | Chap. 10 | Applications of Linear Regression | ||
28 | 15 |
Thur, 24 April | (all) | Review, test preparation - looking forward to YOUR questions ;-) Applications of Linear Regression |
||
please check UNCW website | Test 2 (chapter 7 - 10) | --> Test 2
+ solutions + final
results + overview |
TEAMwork: (most of the teamwork will be assigned homework but some might take place in class).
Team: Date: |
(All students) |
1 |
2 |
3 |
4 |
5 |
6 |
003 | Anaya, Alina M. Baric, Michelle B. Boston, Ashley M. Bowman, Lucas J. Brooks, Ashton L. Caines, Jeffrey N. Camberos, Julia Camp, Xavier N. | Carlton, William B. Coffey, Bradford J. Covington, Jarrod C. Denning, Christopher D. Dotson, Hannah R. Erexson, Kevin M. Fairchild, Mallory L. | Ferrer, Nolan A. Fields, Phillip K. Fuller, Eric M. Habbal, Zeina T. Hazlett, Lauren A. Hill, Anya M. Hobbs, Meagan N. Hurley, Heather A. | Isaac, Carolyn A. Jenkins, Bethany M. Jeralds, Darion T. King, Krista L. Laurore, Joshua E. Lewis, Emily L. Liverman, Christopher K. Michaels, Alesia C. | Middlebrooks, Travis R. Nelson, James A. Perry, Vivian M. Pircher, Chris M. Polomik, Susan M. Ragan, Cassie M. Reed, Emma C. | Richardson, Kristin L. Roberts, Ryan K. Rooney, Michael C. Smith, Matthew Wiggins, Ryan H. Williams, Laura M. Zenahlik, Kaitlyn B. | |
004 | Adams, Michelle L. Anderson, Sean R. Boles, Zachary L. Bradshaw, Carly N. Brown, Michael D. Bryan, Chase G. Burns, Meghan C. Cameron, Max A. |
Camp, Christopher S. Clair, Kathryn G. Clark, Alicia N. Collins, Jaron D. Edgerton, Johnathan D. Fianchino, Erica M. Fletcher, Chrystal S. Gabel, Megan L. |
Giebel, Zachary L. Gooch, Larry G. Herrel, Lauren E. Hicks, Allen F. Hoover, John W. Huntley, Evan D. Huxhold, Brianne E. Jenson, Mary B. |
Jones, Stefanie R. Kelly, Brandon L. Laskody, George A. Lewis, Amanda L. Long, Morgan E. Lupton, David W. Makla, Nathan A. |
Murphy, Sarah A. Nixon, Jerel W. Pileri, Evan M. Porter, Nathan C. Price, Carlton B. Shepherd, Christina M. Smith, Katelyn |
St. John, Shauna J. Goldman, Maggie A |
|
Tue, 22 January | Please answer questions of case study - see task 1 | 1. PBC (Tuesday) |
1. PBC (Thursday) |
2. UABC (Tuesday) |
2. UABC (Thursday) |
3. Lecturer P. (Tuesday) |
3. Lecturer P. (Thursday) |
Tue, 29 January | (5 Feb no tasks due to quizz) | 29 Jan |
no task |
as already |
done |
last |
week |
Tue, 19 February |
(in brackets pages in old version of class notes) | 2. Example (InterRangeCorp) p. 30 (7. p 24) | Sample data sets: compare the first 2 sets (#1 and #2): draw a scatter and a line plot for both and find a way to visualize the mean and the disperson p 32/32 (p 26) | Sample data sets: compare the last 2 sets (#2 and #3): draw a scatter and a line plot for both and find a way to visualize the mean he disperson p 32/32 (p 26) | |||
Thur, 21 February | 13. Examples of Probability a, page 45 (p 34) | 13. Examples of Probability b, page 46 (p 35) | 13. Examples of Probability c, page 47 (p 36) | ||||
Tue, 25 March postponed to |
Find in the Normal Distribution
table AND sketch the area in a diagram: P(z > 1.76) = P(-2.40 < z < 1.23) = P(-1.96 < z < 1.96) = P( z < -2.96) = |
Example Problem on page 63 "Almation
Inc" (old version page 52) |
Example Problem on page 64 "Dig
Deep" (old version page 53) |
||||
Thur, 10 April | Chap 8 Exercises 1-7 ! ALL of you should do all exercises! The teams are expcted to explain the answers (p78/70) |
1, 3 | 2, 5 | 7,3 | |||
Thur, 24 April | ALL students | should work on | ALL tasks of | chapter 10 |
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